Media Server 25.1
Media Server Help

# Language Identification

Language identification identifies the language of speech.

Configuration Parameter | Description
--- | ---
ClosedSet | A Boolean that specifies whether the speech is expected to be in a known language, or one of the languages specified by Languages if you have set that parameter.
Input | The audio track to analyze.
Languages | A comma-separated list of languages that you expect to occur in the ingested media.
MaxResults | Specifies how many possible languages to return in the results.
Mode | The type of language identification task to run (boundary/segmented/cumulative).
OutputIdentities | The types of results to include in the output (`all`, `known`, or `unknown`).
SampleFrequency | The sample frequency to use when analyzing the audio.
SegmentDuration | The amount of audio to analyze as a single segment.
SpeedBias | Specifies whether to prioritize accuracy or processing speed.
Type | The analysis engine to use. Set this parameter to `LanguageID`.

## Output Tracks

The following table describes the tracks that are generated by this engine. The Output column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the `Input` parameter for the output task).

Output track | Description | Output
--- | --- | ---
`Result` | Contains one record, describing the analysis results, for each language identification (records in this track can span multiple analyzed segments if the identified language is the same). | Yes
`ResultWithSource` | Use this track as input for a speech-to-text task. It provides both language ID results and the audio. | No
`SegmentedResult` | Media Server adds a record to this track for each analyzed segment. The records describe the results of language identification. | Yes

For more information see Language Identification Results or use the action GetExampleRecord.

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Version 25.1 | Last updated January 2025

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Product: Knowledge Discovery Media Server 25.1

Topic Title: Language Identification